Potter Christopher, Alexander Olivia
Biospheric Science Branch, Earth Science Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
San Jose State University, San Jose, CA, USA.
Urban Clim. 2021 May;37:100828. doi: 10.1016/j.uclim.2021.100828. Epub 2021 Mar 19.
The purpose of this study was to make quantitative connections between changes in social and economic activities in northern California urban areas and related Earth system environmental responses to the COVID-19 pandemic in 2020. We tested the hypothesis that the absence of worker activities during Shelter-in-Place in the San Francisco Bay Area detectably altered the infrared heat flux from parking lots, highways, and large building rooftops, caused primarily by quantitative changes in the reflective properties in these different classes of urban surfaces. The Landsat satellite's thermal infrared (TIR) sensor imagery for surface temperature (ST) was quantified for all the large urban features in the Bay Area that have flat (impervious) surfaces, such parking lots, wide roadways, and rooftops. These large impervious surface features in the five-county Bay Area were first delineated and classified using sub-meter aerial imagery from the National Agriculture Imagery Program (NAIP). We then compared Landsat ST data acquired on (or near) the same dates from the three previous years (2017-2019) for all these contiguous impervious surfaces. Results showed that all the large parking lots, roadway corridors, and industrial/commercial rooftops across the entire Bay Area urban landscape were detected by Landsat ST time series as significantly cooler (by 5 C to 8 C) during the unprecedented Shelter-in-Place period of mid-March to late-May of 2020, compared to same months of the three previous years. The explanation for this region-wide cooling pattern in 2020 that was best supported by both remote sensing and ground-based data sets was that relatively low atmospheric aerosol lower (PM) concentrations from mid-March to late May of 2020 resulted in weaker temperature inversions over the Bay Area, higher diurnal surface mixing, and lowered urban surface temperatures, compared to the three previous years.
本研究的目的是对加利福尼亚州北部城市地区社会和经济活动的变化与2020年新冠疫情相关的地球系统环境响应之间进行定量关联。我们检验了这样一个假设:旧金山湾区实施就地避难令期间工人活动的缺失,可检测到地改变了停车场、高速公路和大型建筑屋顶的红外热通量,这主要是由这些不同类型城市表面反射特性的定量变化引起的。利用陆地卫星的热红外(TIR)传感器获取的地表温度(ST)图像,对湾区所有具有平坦(不透水)表面的大型城市特征进行了量化,这些特征包括停车场、宽阔的道路和屋顶。首先使用来自国家农业影像计划(NAIP)的亚米级航空影像,对湾区五县这些大型不透水表面特征进行了描绘和分类。然后,我们比较了前三年(2017 - 2019年)在相同日期(或相近日期)获取的所有这些相邻不透水表面的陆地卫星ST数据。结果显示,与前三年的同一月份相比,在2020年3月中旬至5月下旬前所未有的就地避难令期间,陆地卫星ST时间序列检测到整个湾区城市景观中的所有大型停车场、道路廊道以及工业/商业屋顶都明显更凉爽(低5摄氏度至8摄氏度)。2020年这种全区域降温模式的最佳解释,得到了遥感和地面数据集的有力支持,即与前三年相比,2020年3月中旬至5月下旬相对较低的大气气溶胶(PM)浓度导致湾区上空的温度逆温减弱、白天的地表混合增强以及城市地表温度降低。